Generalized Dynamic Constraint Satisfaction Based on Extension Particle Swarm Optimization Algorithm for Collaborative Simulation. - Yanchao Yin; Linfu Sun (CAD/Graphics, 2007)

Adaptive Neural Network Sliding Mode Control for Quad Tilt Rotor Aircraft. - Yanchao Yin; Hongwei Niu; Xiaobao Liu (Complex., 2017)

A knowledge resources fusion method based on rough set theory for quality prediction. - Yanchao Yin; Litong Zhang; Weizhi Liao; Hongwei Niu; Fuzhao Chen (Comput. Ind., 2019)

An Optimal Composition Strategy for Knowledge Service Component Based on Flexible Tracking Particle Swarm Algorithm. - Yanchao Yin; Fuzhao Chen; Weizhi Liao; Cui-yin Liu (Complex., 2019)

The Inventory of Spare Parts Prediction based on LSTM for Large Data and a Short Replacement Cycle. - Weizhi Liao; Guanglei Ye; Yanchao Yin; Weijun Yan; Yaheng Ma; Dongzhou Zuo (AICCSA, 2020)

Auto Parts Sales Prediction based on Machine Learning for Small Data and a Long Replacement Cycle. - Weizhi Liao; Guanglei Ye; Yanchao Yin; Weijun Yan; Yaheng Ma; Dongzhou Zuo (AICCSA, 2020)

Research on the Collaborative Diagnosis of Automobile Maintenance and Repair based on an Improved SimHash Algorithm. - Weizhi Liao; Dongzhou Zuo; Yanchao Yin; Qiang Zhang; Guanglei Ye; Yaheng Ma (AICCSA, 2020)

Named Entity Recognition Method for Fault Knowledge based on Deep Learning. - Zhicheng Chen; Xiaobao Liu; Yanchao Yin; Hongbiao Lu (ICMLSC, 2020)

Reasoning Algorithms for Complex Matching Features. - Wei Jiang; Yanchao Yin (ICMLSC, 2020)

Improved sequence generation model for multi-label classification via CNN and initialized fully connection. - Weizhi Liao; Yu Wang; Yanchao Yin; Xiaobing Zhang; Pan Ma (Neurocomputing, 2020)

Improving abstractive summarization based on dynamic residual network with reinforce dependency. - Weizhi Liao; Yaheng Ma; Yanchao Yin; Guanglei Ye; Dongzhou Zuo (Neurocomputing, 2021)

Fine-grained attention-based phrase-aware network for aspect-level sentiment analysis. - Weizhi Liao; Jiarui Zhou; Yu Wang; Yanchao Yin; Xiaobing Zhang (Artif. Intell. Rev., 2022)

Reference-Based Super-Resolution Method for Remote Sensing Images with Feature Compression Module. - Jiayang Zhang; Wanxu Zhang; Bo Jiang 014; Xiaodan Tong; Keya Chai; Yanchao Yin; Lin Wang 026; Junhao Jia; Xiaoxuan Chen (Remote. Sens., 2023)

A method for the spatiotemporal correlation prediction of the quality of multiple operational processes based on S-GGRU. - Wanda Zhang; Yanchao Yin; Jun Tang; Bin Yi (Adv. Eng. Informatics, 2023)

GLTF-Net: Deep-Learning Network for Thick Cloud Removal of Remote Sensing Images via Global-Local Temporality and Features. - Junhao Jia; Mingzhong Pan; Yaowei Li; Yanchao Yin; Shengmei Chen; Hongjia Qu; Xiaoxuan Chen; Bo Jiang 014 (Remote. Sens., 2023)

FDT-Net: Deep-Learning Network for Thin-Cloud Removal in Remote Sensing Image Using Frequency-Domain Training Strategy. - Bo Jiang 014; Haozhan Chong; Zhenyu Tan; Hang An; Haoran Yin; Shengmei Chen; Yanchao Yin; Xiaoxuan Chen (IEEE Geosci. Remote. Sens. Lett., 2024)

Advanced deep learning techniques for automated extraction of non-debris-covered areas of glaciers in High-Mountain Asia using time-series remote sensing data. - Gexia Qin; Ninglian Wang; Bo Jiang 014; Yuwei Wu 004; Yanchao Yin; Zhijie Li (Int. J. Appl. Earth Obs. Geoinformation, 2025)